TY - JOUR
T1 - Pavement Maintenance Optimization Strategies for National Road Network in Indonesia Applying Genetic Algorithm
AU - Hamdi,
AU - Hadiwardoyo, Sigit P.
AU - Correia, A. Gomes
AU - Pereira, Paulo
N1 - Publisher Copyright:
© 2017 The Authors. Published by Elsevier Ltd.
PY - 2017
Y1 - 2017
N2 - In Indonesia, the national road has an important role to increase the region's economy, the road has the function to preserve inter-provincial or inter-provincial and regencies/cities. Road network in Indonesia has a significant length, of approximately 516, 239 kilometers, where the majority presents lack of information related to monitoring data and evaluation. As a consequence, road maintenance is not appropriated. The objective of this paper is to describe the development of a Genetic Algorithm (GA) based on multi objectives programming of pavement and to investigate the optimal maintenance strategy options applied as function of road surface distress conditions. This is supported by database of an Integrated Road Management System (IRMS) and taking into account of both road network condition and agency costs. The optimization strategies provided by the developed soft computing tool can help solving agency problems; minimizing costs and maximizing road services.
AB - In Indonesia, the national road has an important role to increase the region's economy, the road has the function to preserve inter-provincial or inter-provincial and regencies/cities. Road network in Indonesia has a significant length, of approximately 516, 239 kilometers, where the majority presents lack of information related to monitoring data and evaluation. As a consequence, road maintenance is not appropriated. The objective of this paper is to describe the development of a Genetic Algorithm (GA) based on multi objectives programming of pavement and to investigate the optimal maintenance strategy options applied as function of road surface distress conditions. This is supported by database of an Integrated Road Management System (IRMS) and taking into account of both road network condition and agency costs. The optimization strategies provided by the developed soft computing tool can help solving agency problems; minimizing costs and maximizing road services.
KW - data mining
KW - genetic algorithm
KW - multi objective
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85042648531&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2017.11.074
DO - 10.1016/j.proeng.2017.11.074
M3 - Conference article
AN - SCOPUS:85042648531
SN - 1877-7058
VL - 210
SP - 253
EP - 260
JO - Procedia Engineering
JF - Procedia Engineering
T2 - 6th International Workshop on Performance, Protection & Strengthening of Structures under Extreme Loading, PROTECT 2017
Y2 - 11 December 2017 through 12 December 2017
ER -